Overview

Dataset statistics

Number of variables27
Number of observations136916
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.2 MiB
Average record size in memory216.0 B

Variable types

NUM25
CAT2

Warnings

LEEFTIJDSKLASSE has a high cardinality: 91 distinct values High cardinality
AANTAL_VERZEKERDEJAREN is highly correlated with AANTAL_BSN and 3 other fieldsHigh correlation
AANTAL_BSN is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_HUISARTS_OVERIG is highly correlated with AANTAL_VERZEKERDEJAREN and 1 other fieldsHigh correlation
KOSTEN_VERLOSKUNDIGE_ZORG is highly correlated with KOSTEN_KRAAMZORGHigh correlation
KOSTEN_KRAAMZORG is highly correlated with KOSTEN_VERLOSKUNDIGE_ZORGHigh correlation
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly correlated with AANTAL_BSN and 1 other fieldsHigh correlation
AANTAL_BSN is highly skewed (γ1 = 359.9627084) Skewed
AANTAL_VERZEKERDEJAREN is highly skewed (γ1 = 339.5691361) Skewed
KOSTEN_MEDISCH_SPECIALISTISCHE_ZORG is highly skewed (γ1 = 52.17140102) Skewed
KOSTEN_FARMACIE is highly skewed (γ1 = 29.41423327) Skewed
KOSTEN_SPECIALISTISCHE_GGZ is highly skewed (γ1 = 27.03511978) Skewed
KOSTEN_HUISARTS_INSCHRIJFTARIEF is highly skewed (γ1 = 190.2163179) Skewed
KOSTEN_HUISARTS_CONSULT is highly skewed (γ1 = 44.70295717) Skewed
KOSTEN_HUISARTS_OVERIG is highly skewed (γ1 = 195.4210711) Skewed
KOSTEN_ZIEKENVERVOER_LIGGEND is highly skewed (γ1 = 80.99502686) Skewed
KOSTEN_GENERALISTISCHE_BASIS_GGZ is highly skewed (γ1 = 26.69994527) Skewed
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG is highly skewed (γ1 = 366.9142618) Skewed
KOSTEN_SPECIALISTISCHE_GGZ has 52814 (38.6%) zeros Zeros
KOSTEN_HUISARTS_MDZ has 11082 (8.1%) zeros Zeros
KOSTEN_HULPMIDDELEN has 6525 (4.8%) zeros Zeros
KOSTEN_MONDZORG has 27688 (20.2%) zeros Zeros
KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE has 29337 (21.4%) zeros Zeros
KOSTEN_PARAMEDISCHE_ZORG_OVERIG has 22856 (16.7%) zeros Zeros
KOSTEN_ZIEKENVERVOER_ZITTEND has 88328 (64.5%) zeros Zeros
KOSTEN_ZIEKENVERVOER_LIGGEND has 32887 (24.0%) zeros Zeros
KOSTEN_KRAAMZORG has 119707 (87.4%) zeros Zeros
KOSTEN_VERLOSKUNDIGE_ZORG has 118983 (86.9%) zeros Zeros
KOSTEN_GENERALISTISCHE_BASIS_GGZ has 75148 (54.9%) zeros Zeros
KOSTEN_LANGDURIGE_GGZ has 134601 (98.3%) zeros Zeros
KOSTEN_GRENSOVERSCHRIJDENDE_ZORG has 53547 (39.1%) zeros Zeros
KOSTEN_EERSTELIJNS_ONDERSTEUNING has 58122 (42.5%) zeros Zeros
KOSTEN_GERIATRISCHE_REVALIDATIEZORG has 113073 (82.6%) zeros Zeros
KOSTEN_VERPLEGING_EN_VERZORGING has 63022 (46.0%) zeros Zeros
KOSTEN_OVERIG has 48825 (35.7%) zeros Zeros

Reproduction

Analysis started2020-09-06 22:40:17.522335
Analysis finished2020-09-06 22:42:30.248229
Duration2 minutes and 12.73 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

GESLACHT
Categorical

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
V
68671 
M
68244 
ValueCountFrequency (%) 
V6867150.2%
 
M6824449.8%
 
(Missing)1< 0.1%
 
2020-09-06T22:42:30.315362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-09-06T22:42:30.408941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:30.529380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length1
Mean length1.000014607
Min length1

LEEFTIJDSKLASSE
Categorical

HIGH CARDINALITY

Distinct91
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size1.0 MiB
54
 
1562
57
 
1559
48
 
1559
52
 
1558
55
 
1558
Other values (86)
129119 
ValueCountFrequency (%) 
5415621.1%
 
5715591.1%
 
4815591.1%
 
5215581.1%
 
5515581.1%
 
5015581.1%
 
4715571.1%
 
6015561.1%
 
4915561.1%
 
5115561.1%
 
Other values (81)12133688.6%
 
2020-09-06T22:42:30.736827image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%
2020-09-06T22:42:30.926379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram of lengths of the category

Length

Max length3
Median length2
Mean length1.899741447
Min length1

POSTCODE_3
Real number (ℝ≥0)

Distinct794
Distinct (%)0.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean541.178556
Minimum0
Maximum999
Zeros182
Zeros (%)0.1%
Memory size1.0 MiB
2020-09-06T22:42:31.113452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile144
Q1318
median539
Q3763
95-th percentile955
Maximum999
Range999
Interquartile range (IQR)445

Descriptive statistics

Standard deviation258.2297375
Coefficient of variation (CV)0.4771618065
Kurtosis-1.167168121
Mean541.178556
Median Absolute Deviation (MAD)223
Skewness0.03576618106
Sum74095462
Variance66682.59731
MonotocityNot monotonic
2020-09-06T22:42:31.318003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5401820.1%
 
1101820.1%
 
8911820.1%
 
7771820.1%
 
3921820.1%
 
3131820.1%
 
4131820.1%
 
1601820.1%
 
9241820.1%
 
6081820.1%
 
Other values (784)13509598.7%
 
ValueCountFrequency (%) 
01820.1%
 
1011820.1%
 
1021820.1%
 
1031820.1%
 
10416< 0.1%
 
ValueCountFrequency (%) 
9991660.1%
 
9981820.1%
 
9971720.1%
 
9961760.1%
 
9951800.1%
 

AANTAL_BSN
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct1126
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.8387478
Minimum10
Maximum356551
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-09-06T22:42:31.520781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16
Q141
median82
Q3163
95-th percentile381
Maximum356551
Range356541
Interquartile range (IQR)122

Descriptive statistics

Standard deviation972.1535101
Coefficient of variation (CV)7.60452935
Kurtosis131972.1916
Mean127.8387478
Median Absolute Deviation (MAD)50
Skewness359.9627084
Sum17503170
Variance945082.4472
MonotocityNot monotonic
2020-09-06T22:42:31.716766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1911610.8%
 
2111480.8%
 
2911470.8%
 
2211400.8%
 
2811400.8%
 
2011370.8%
 
1811330.8%
 
3311280.8%
 
3511270.8%
 
3011230.8%
 
Other values (1116)12553291.7%
 
ValueCountFrequency (%) 
1010220.7%
 
1110340.8%
 
1210780.8%
 
1310660.8%
 
1410660.8%
 
ValueCountFrequency (%) 
3565511< 0.1%
 
23111< 0.1%
 
22921< 0.1%
 
22321< 0.1%
 
21301< 0.1%
 

AANTAL_VERZEKERDEJAREN
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct34846
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.5254763
Minimum3.09
Maximum196219.74
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-09-06T22:42:31.951853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum3.09
5-th percentile15.27
Q140
median81
Q3160.34
95-th percentile376.0325
Maximum196219.74
Range196216.65
Interquartile range (IQR)120.34

Descriptive statistics

Standard deviation545.3718356
Coefficient of variation (CV)4.37960048
Kurtosis122082.8639
Mean124.5254763
Median Absolute Deviation (MAD)50
Skewness339.5691361
Sum17049530.11
Variance297430.4391
MonotocityNot monotonic
2020-09-06T22:42:32.170685image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
127490.5%
 
117380.5%
 
197180.5%
 
217100.5%
 
157070.5%
 
107040.5%
 
167030.5%
 
147010.5%
 
136890.5%
 
186820.5%
 
Other values (34836)12981594.8%
 
ValueCountFrequency (%) 
3.091< 0.1%
 
3.951< 0.1%
 
4.11< 0.1%
 
4.331< 0.1%
 
4.471< 0.1%
 
ValueCountFrequency (%) 
196219.741< 0.1%
 
2220.621< 0.1%
 
2191.361< 0.1%
 
2130.011< 0.1%
 
2047.131< 0.1%
 
Distinct136549
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165218.8045
Minimum-7777
Maximum46978766.76
Zeros19
Zeros (%)< 0.1%
Memory size1.0 MiB
2020-09-06T22:42:32.444742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-7777
5-th percentile6303.62
Q132441.9675
median88496.32
Q3215527.94
95-th percentile576265.5525
Maximum46978766.76
Range46986543.76
Interquartile range (IQR)183085.9725

Descriptive statistics

Standard deviation246118.0601
Coefficient of variation (CV)1.4896492
Kurtosis9567.953488
Mean165218.8045
Median Absolute Deviation (MAD)68699.18
Skewness52.17140102
Sum2.262109784e+10
Variance6.057409949e+10
MonotocityNot monotonic
2020-09-06T22:42:32.794244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
019< 0.1%
 
15786.082< 0.1%
 
7924.322< 0.1%
 
98888.892< 0.1%
 
61873.072< 0.1%
 
23836.252< 0.1%
 
35359.692< 0.1%
 
51836.982< 0.1%
 
201550.682< 0.1%
 
27312.562< 0.1%
 
Other values (136539)136879> 99.9%
 
ValueCountFrequency (%) 
-77771< 0.1%
 
019< 0.1%
 
12.521< 0.1%
 
231< 0.1%
 
25.711< 0.1%
 
ValueCountFrequency (%) 
46978766.761< 0.1%
 
4462180.081< 0.1%
 
4142347.51< 0.1%
 
3839430.51< 0.1%
 
3616606.711< 0.1%
 

KOSTEN_FARMACIE
Real number (ℝ≥0)

SKEWED

Distinct134842
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33974.63187
Minimum14.11
Maximum8368957.11
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-09-06T22:42:33.070996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum14.11
5-th percentile906.0675
Q14957.82
median15929.88
Q343154.03
95-th percentile125922.9925
Maximum8368957.11
Range8368943
Interquartile range (IQR)38196.21

Descriptive statistics

Standard deviation54331.59987
Coefficient of variation (CV)1.599181415
Kurtosis4067.416092
Mean33974.63187
Median Absolute Deviation (MAD)13287.735
Skewness29.41423327
Sum4651670697
Variance2951922745
MonotocityNot monotonic
2020-09-06T22:42:33.270308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4341.593< 0.1%
 
194.13< 0.1%
 
2217.623< 0.1%
 
748.933< 0.1%
 
767.123< 0.1%
 
15623.323< 0.1%
 
1632.163< 0.1%
 
28952.863< 0.1%
 
263.263< 0.1%
 
2447.933< 0.1%
 
Other values (134832)136886> 99.9%
 
ValueCountFrequency (%) 
14.111< 0.1%
 
14.141< 0.1%
 
14.161< 0.1%
 
14.321< 0.1%
 
14.981< 0.1%
 
ValueCountFrequency (%) 
8368957.111< 0.1%
 
1231629.741< 0.1%
 
1166271.421< 0.1%
 
1147381.841< 0.1%
 
1015539.561< 0.1%
 

KOSTEN_SPECIALISTISCHE_GGZ
Real number (ℝ)

SKEWED
ZEROS

Distinct69094
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21524.51238
Minimum-66348.6
Maximum7669881.83
Zeros52814
Zeros (%)38.6%
Memory size1.0 MiB
2020-09-06T22:42:33.516390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-66348.6
5-th percentile0
Q10
median2561.32
Q319746.3775
95-th percentile108695.9
Maximum7669881.83
Range7736230.43
Interquartile range (IQR)19746.3775

Descriptive statistics

Standard deviation51905.61999
Coefficient of variation (CV)2.411465545
Kurtosis3468.236635
Mean21524.51238
Median Absolute Deviation (MAD)2561.32
Skewness27.03511978
Sum2947050137
Variance2694193386
MonotocityNot monotonic
2020-09-06T22:42:33.722044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05281438.6%
 
616.731810.1%
 
1109.941630.1%
 
2502.321450.1%
 
1028.981250.1%
 
2500.541060.1%
 
2450.72980.1%
 
585.66930.1%
 
635.02880.1%
 
320.74870.1%
 
Other values (69084)8301660.6%
 
ValueCountFrequency (%) 
-66348.61< 0.1%
 
-56879.221< 0.1%
 
-28221.911< 0.1%
 
-17118.931< 0.1%
 
-15556.561< 0.1%
 
ValueCountFrequency (%) 
7669881.831< 0.1%
 
1160281.641< 0.1%
 
910582.081< 0.1%
 
890716.441< 0.1%
 
857109.741< 0.1%
 

KOSTEN_HUISARTS_INSCHRIJFTARIEF
Real number (ℝ≥0)

HIGH CORRELATION
SKEWED

Distinct35375
Distinct (%)25.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8055.889751
Minimum59.96
Maximum3973069.45
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-09-06T22:42:33.963193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum59.96
5-th percentile1074
Q12698.2
median5456.36
Q310611.45
95-th percentile23699.9925
Maximum3973069.45
Range3973009.49
Interquartile range (IQR)7913.25

Descriptive statistics

Standard deviation13390.55662
Coefficient of variation (CV)1.662207035
Kurtosis56149.53843
Mean8055.889751
Median Absolute Deviation (MAD)3327.78
Skewness190.2163179
Sum1102980201
Variance179307006.5
MonotocityNot monotonic
2020-09-06T22:42:34.176620image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
719.525290.4%
 
659.564880.4%
 
1259.164830.4%
 
1019.324770.3%
 
1139.244740.3%
 
1199.24690.3%
 
959.364650.3%
 
899.44530.3%
 
1319.124520.3%
 
599.64460.3%
 
Other values (35365)13218096.5%
 
ValueCountFrequency (%) 
59.961< 0.1%
 
104.931< 0.1%
 
149.92< 0.1%
 
164.898< 0.1%
 
179.886< 0.1%
 
ValueCountFrequency (%) 
3973069.451< 0.1%
 
133923.661< 0.1%
 
130108.51< 0.1%
 
127593.251< 0.1%
 
121932.841< 0.1%
 

KOSTEN_HUISARTS_CONSULT
Real number (ℝ≥0)

SKEWED

Distinct95969
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.935385
Minimum0
Maximum1261062.66
Zeros38
Zeros (%)< 0.1%
Memory size1.0 MiB
2020-09-06T22:42:34.438755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile429.185
Q11440.44
median3217.68
Q36764.4125
95-th percentile16346.91
Maximum1261062.66
Range1261062.66
Interquartile range (IQR)5323.9725

Descriptive statistics

Standard deviation7016.106244
Coefficient of variation (CV)1.348489982
Kurtosis7525.288994
Mean5202.935385
Median Absolute Deviation (MAD)2165.86
Skewness44.70295717
Sum712365101.2
Variance49225746.83
MonotocityNot monotonic
2020-09-06T22:42:34.658965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
038< 0.1%
 
198.4922< 0.1%
 
249.2720< 0.1%
 
272.3620< 0.1%
 
332.3719< 0.1%
 
226.219< 0.1%
 
33719< 0.1%
 
355.4519< 0.1%
 
272.3718< 0.1%
 
457.0218< 0.1%
 
Other values (95959)13670499.8%
 
ValueCountFrequency (%) 
038< 0.1%
 
1.751< 0.1%
 
21< 0.1%
 
2.483< 0.1%
 
2.921< 0.1%
 
ValueCountFrequency (%) 
1261062.661< 0.1%
 
236449.851< 0.1%
 
166311.621< 0.1%
 
150052.211< 0.1%
 
144627.11< 0.1%
 

KOSTEN_HUISARTS_MDZ
Real number (ℝ≥0)

ZEROS

Distinct102579
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4141.753646
Minimum0
Maximum793129.65
Zeros11082
Zeros (%)8.1%
Memory size1.0 MiB
2020-09-06T22:42:34.921757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1168.6
median1474.31
Q35177.05
95-th percentile17146.29
Maximum793129.65
Range793129.65
Interquartile range (IQR)5008.45

Descriptive statistics

Standard deviation7124.624366
Coefficient of variation (CV)1.720195109
Kurtosis1113.478075
Mean4141.753646
Median Absolute Deviation (MAD)1453.43
Skewness12.89649631
Sum567072342.2
Variance50760272.35
MonotocityNot monotonic
2020-09-06T22:42:35.131439image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0110828.1%
 
0.221770.1%
 
22.821600.1%
 
0.331570.1%
 
41.821370.1%
 
414.481240.1%
 
2351220.1%
 
0.261210.1%
 
3.21210.1%
 
0.551120.1%
 
Other values (102569)12460391.0%
 
ValueCountFrequency (%) 
0110828.1%
 
0.1168< 0.1%
 
0.122< 0.1%
 
0.1326< 0.1%
 
0.166< 0.1%
 
ValueCountFrequency (%) 
793129.651< 0.1%
 
148980.281< 0.1%
 
134874.461< 0.1%
 
116405.581< 0.1%
 
107586.711< 0.1%
 

KOSTEN_HUISARTS_OVERIG
Real number (ℝ)

HIGH CORRELATION
SKEWED

Distinct128820
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6182.330392
Minimum-236.47
Maximum3402557.07
Zeros0
Zeros (%)0.0%
Memory size1.0 MiB
2020-09-06T22:42:35.424345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-236.47
5-th percentile725.16
Q11980.7975
median3995.355
Q37954.2975
95-th percentile18781
Maximum3402557.07
Range3402793.54
Interquartile range (IQR)5973.5

Descriptive statistics

Standard deviation11369.87941
Coefficient of variation (CV)1.839092816
Kurtosis58158.58309
Mean6182.330392
Median Absolute Deviation (MAD)2480.33
Skewness195.4210711
Sum846459948
Variance129274157.8
MonotocityNot monotonic
2020-09-06T22:42:35.775163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3563.214< 0.1%
 
2022.214< 0.1%
 
1884.754< 0.1%
 
2232.354< 0.1%
 
3218.054< 0.1%
 
1038.094< 0.1%
 
1651.74< 0.1%
 
2679.174< 0.1%
 
4802.84< 0.1%
 
2671.144< 0.1%
 
Other values (128810)136876> 99.9%
 
ValueCountFrequency (%) 
-236.471< 0.1%
 
31.381< 0.1%
 
70.321< 0.1%
 
72.261< 0.1%
 
82.151< 0.1%
 
ValueCountFrequency (%) 
3402557.071< 0.1%
 
192792.031< 0.1%
 
161228.241< 0.1%
 
143081.981< 0.1%
 
137433.241< 0.1%
 

KOSTEN_HULPMIDDELEN
Real number (ℝ≥0)

ZEROS

Distinct119605
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10638.33065
Minimum0
Maximum1675945.12
Zeros6525
Zeros (%)4.8%
Memory size1.0 MiB
2020-09-06T22:42:36.051840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.4075
Q11028.1325
median5060.01
Q313791.9725
95-th percentile39410.215
Maximum1675945.12
Range1675945.12
Interquartile range (IQR)12763.84

Descriptive statistics

Standard deviation16990.32385
Coefficient of variation (CV)1.597085521
Kurtosis755.641834
Mean10638.33065
Median Absolute Deviation (MAD)4713.01
Skewness12.12283136
Sum1456557680
Variance288671104.6
MonotocityNot monotonic
2020-09-06T22:42:36.252290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
065254.8%
 
29.18380.6%
 
30.552850.2%
 
23.52730.2%
 
58.21730.1%
 
30.711410.1%
 
29.421310.1%
 
461260.1%
 
32.331180.1%
 
59.65860.1%
 
Other values (119595)12822093.6%
 
ValueCountFrequency (%) 
065254.8%
 
0.181< 0.1%
 
0.191< 0.1%
 
0.23< 0.1%
 
0.212< 0.1%
 
ValueCountFrequency (%) 
1675945.121< 0.1%
 
706827.191< 0.1%
 
543395.351< 0.1%
 
461447.341< 0.1%
 
454747.291< 0.1%
 

KOSTEN_MONDZORG
Real number (ℝ)

ZEROS

Distinct95906
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5379.195574
Minimum-444.08
Maximum938749.29
Zeros27688
Zeros (%)20.2%
Memory size1.0 MiB
2020-09-06T22:42:36.509116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-444.08
5-th percentile0
Q1144.4775
median1653.65
Q35704.5075
95-th percentile22786.1675
Maximum938749.29
Range939193.37
Interquartile range (IQR)5560.03

Descriptive statistics

Standard deviation11338.41865
Coefficient of variation (CV)2.107827925
Kurtosis395.0284354
Mean5379.195574
Median Absolute Deviation (MAD)1653.65
Skewness9.661026124
Sum736497941.2
Variance128559737.4
MonotocityNot monotonic
2020-09-06T22:42:36.706970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02768820.2%
 
84.982670.2%
 
20.442220.2%
 
74.191980.1%
 
40.881280.1%
 
61.32900.1%
 
59.53790.1%
 
162.55750.1%
 
120.3750.1%
 
156.31700.1%
 
Other values (95896)10802478.9%
 
ValueCountFrequency (%) 
-444.081< 0.1%
 
-441.91< 0.1%
 
-83.513< 0.1%
 
-82.881< 0.1%
 
-48.021< 0.1%
 
ValueCountFrequency (%) 
938749.291< 0.1%
 
271261.51< 0.1%
 
270464.061< 0.1%
 
265425.581< 0.1%
 
261961.261< 0.1%
 

KOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIE
Real number (ℝ≥0)

ZEROS

Distinct76018
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3625.310251
Minimum0
Maximum340085.91
Zeros29337
Zeros (%)21.4%
Memory size1.0 MiB
2020-09-06T22:42:36.955817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1171
median1768.425
Q34883.5
95-th percentile13733.5875
Maximum340085.91
Range340085.91
Interquartile range (IQR)4712.5

Descriptive statistics

Standard deviation5253.34491
Coefficient of variation (CV)1.449074575
Kurtosis139.1174201
Mean3625.310251
Median Absolute Deviation (MAD)1768.425
Skewness4.866484901
Sum496362978.3
Variance27597632.75
MonotocityNot monotonic
2020-09-06T22:42:37.148429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02933721.4%
 
29.51310.1%
 
28.51190.1%
 
59980.1%
 
85.5970.1%
 
57930.1%
 
88.5910.1%
 
206.5890.1%
 
32.75890.1%
 
29.25860.1%
 
Other values (76008)10668677.9%
 
ValueCountFrequency (%) 
02933721.4%
 
7.121< 0.1%
 
9.051< 0.1%
 
101< 0.1%
 
12.651< 0.1%
 
ValueCountFrequency (%) 
340085.911< 0.1%
 
121763.261< 0.1%
 
92821.351< 0.1%
 
88719.41< 0.1%
 
79761.981< 0.1%
 

KOSTEN_PARAMEDISCHE_ZORG_OVERIG
Real number (ℝ)

ZEROS

Distinct74302
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1736.739558
Minimum-46.02
Maximum258441.47
Zeros22856
Zeros (%)16.7%
Memory size1.0 MiB
2020-09-06T22:42:37.384109image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-46.02
5-th percentile0
Q1122.045
median518.47
Q31514.2375
95-th percentile6435.145
Maximum258441.47
Range258487.49
Interquartile range (IQR)1392.1925

Descriptive statistics

Standard deviation5016.948869
Coefficient of variation (CV)2.888716875
Kurtosis247.1896119
Mean1736.739558
Median Absolute Deviation (MAD)518.47
Skewness11.48801444
Sum237787433.3
Variance25169775.95
MonotocityNot monotonic
2020-09-06T22:42:37.587484image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02285616.7%
 
176.885120.4%
 
178.84550.3%
 
1864220.3%
 
933760.3%
 
88.443750.3%
 
117.923580.3%
 
1803440.3%
 
89.43020.2%
 
1243000.2%
 
Other values (74292)11061680.8%
 
ValueCountFrequency (%) 
-46.021< 0.1%
 
-28.91< 0.1%
 
02285616.7%
 
3.881< 0.1%
 
8.941< 0.1%
 
ValueCountFrequency (%) 
258441.471< 0.1%
 
219682.471< 0.1%
 
207652.461< 0.1%
 
184182.511< 0.1%
 
168919.611< 0.1%
 

KOSTEN_ZIEKENVERVOER_ZITTEND
Real number (ℝ)

ZEROS

Distinct33337
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean760.0814567
Minimum-114.92
Maximum136850
Zeros88328
Zeros (%)64.5%
Memory size1.0 MiB
2020-09-06T22:42:37.799552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-114.92
5-th percentile0
Q10
median0
Q3412.985
95-th percentile4466.335
Maximum136850
Range136964.92
Interquartile range (IQR)412.985

Descriptive statistics

Standard deviation2134.031625
Coefficient of variation (CV)2.807635427
Kurtosis162.8472167
Mean760.0814567
Median Absolute Deviation (MAD)0
Skewness7.025894536
Sum104067312.7
Variance4554090.977
MonotocityNot monotonic
2020-09-06T22:42:38.008710image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08832864.5%
 
6853< 0.1%
 
0.846< 0.1%
 
101.645< 0.1%
 
28.842< 0.1%
 
1240< 0.1%
 
23639< 0.1%
 
202.438< 0.1%
 
40435< 0.1%
 
269.634< 0.1%
 
Other values (33327)4821635.2%
 
ValueCountFrequency (%) 
-114.921< 0.1%
 
-1001< 0.1%
 
-39.121< 0.1%
 
08832864.5%
 
0.011< 0.1%
 
ValueCountFrequency (%) 
1368501< 0.1%
 
46078.711< 0.1%
 
42960.971< 0.1%
 
41745.031< 0.1%
 
41298.81< 0.1%
 

KOSTEN_ZIEKENVERVOER_LIGGEND
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct34449
Distinct (%)25.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4087.406303
Minimum0
Maximum1863993.75
Zeros32887
Zeros (%)24.0%
Memory size1.0 MiB
2020-09-06T22:42:38.242684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1509.39
median1781.67
Q35094.565
95-th percentile15605.5725
Maximum1863993.75
Range1863993.75
Interquartile range (IQR)4585.175

Descriptive statistics

Standard deviation8478.113404
Coefficient of variation (CV)2.074203731
Kurtosis16981.06412
Mean4087.406303
Median Absolute Deviation (MAD)1781.67
Skewness80.99502686
Sum559631321.4
Variance71878406.9
MonotocityNot monotonic
2020-09-06T22:42:38.593570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03288724.0%
 
697.899030.7%
 
721.299010.7%
 
693.998290.6%
 
729.097990.6%
 
701.797740.6%
 
736.897640.6%
 
713.497620.6%
 
717.397590.6%
 
705.697430.5%
 
Other values (34439)9679570.7%
 
ValueCountFrequency (%) 
03288724.0%
 
6.241< 0.1%
 
7.61< 0.1%
 
18.441< 0.1%
 
23.681< 0.1%
 
ValueCountFrequency (%) 
1863993.751< 0.1%
 
334469.071< 0.1%
 
277647.961< 0.1%
 
246295.681< 0.1%
 
227647.731< 0.1%
 

KOSTEN_KRAAMZORG
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct15582
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2159.761131
Minimum-144.51
Maximum923607.73
Zeros119707
Zeros (%)87.4%
Memory size1.0 MiB
2020-09-06T22:42:38.815742image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-144.51
5-th percentile0
Q10
median0
Q30
95-th percentile11973.1575
Maximum923607.73
Range923752.24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10594.81061
Coefficient of variation (CV)4.905547405
Kurtosis528.7407824
Mean2159.761131
Median Absolute Deviation (MAD)0
Skewness13.04207752
Sum295705855
Variance112250011.9
MonotocityNot monotonic
2020-09-06T22:42:39.012416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011970787.4%
 
21.642230.2%
 
86.531220.1%
 
43.271000.1%
 
108.16850.1%
 
104.8962< 0.1%
 
4052< 0.1%
 
1038< 0.1%
 
43.2932< 0.1%
 
3025< 0.1%
 
Other values (15572)1647012.0%
 
ValueCountFrequency (%) 
-144.511< 0.1%
 
011970787.4%
 
2.11< 0.1%
 
8.251< 0.1%
 
8.3212< 0.1%
 
ValueCountFrequency (%) 
923607.731< 0.1%
 
342528.491< 0.1%
 
340512.791< 0.1%
 
323931.421< 0.1%
 
277844.881< 0.1%
 

KOSTEN_VERLOSKUNDIGE_ZORG
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct14541
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1534.488048
Minimum-152.78
Maximum845092.35
Zeros118983
Zeros (%)86.9%
Memory size1.0 MiB
2020-09-06T22:42:39.217875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-152.78
5-th percentile0
Q10
median0
Q30
95-th percentile7889.535
Maximum845092.35
Range845245.13
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8216.922456
Coefficient of variation (CV)5.354829885
Kurtosis1013.114629
Mean1534.488048
Median Absolute Deviation (MAD)0
Skewness18.26861037
Sum210095965.6
Variance67517814.65
MonotocityNot monotonic
2020-09-06T22:42:39.408258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011898386.9%
 
294.182900.2%
 
36.482000.1%
 
1563.06890.1%
 
1636.02850.1%
 
1599.54810.1%
 
43.77780.1%
 
211.54770.1%
 
167.7768< 0.1%
 
72.9662< 0.1%
 
Other values (14531)1690312.3%
 
ValueCountFrequency (%) 
-152.781< 0.1%
 
011898386.9%
 
27.638< 0.1%
 
34.82< 0.1%
 
36.482000.1%
 
ValueCountFrequency (%) 
845092.351< 0.1%
 
333279.31< 0.1%
 
326058.551< 0.1%
 
321894.71< 0.1%
 
305078.571< 0.1%
 

KOSTEN_GENERALISTISCHE_BASIS_GGZ
Real number (ℝ)

SKEWED
ZEROS

Distinct29818
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1534.637771
Minimum-218.41
Maximum526191.06
Zeros75148
Zeros (%)54.9%
Memory size1.0 MiB
2020-09-06T22:42:39.610966image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-218.41
5-th percentile0
Q10
median0
Q31686.58
95-th percentile7315.235
Maximum526191.06
Range526409.47
Interquartile range (IQR)1686.58

Descriptive statistics

Standard deviation3650.853125
Coefficient of variation (CV)2.378967333
Kurtosis3180.788237
Mean1534.637771
Median Absolute Deviation (MAD)0
Skewness26.69994527
Sum210116465
Variance13328728.54
MonotocityNot monotonic
2020-09-06T22:42:39.821208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07514854.9%
 
1262.8220281.5%
 
1199.6811220.8%
 
1136.549050.7%
 
1165.488950.7%
 
805.347070.5%
 
1212.317010.5%
 
765.076600.5%
 
724.816070.4%
 
192.925210.4%
 
Other values (29808)5362239.2%
 
ValueCountFrequency (%) 
-218.411< 0.1%
 
-100.321< 0.1%
 
07514854.9%
 
4.61< 0.1%
 
12.861< 0.1%
 
ValueCountFrequency (%) 
526191.061< 0.1%
 
114056.41< 0.1%
 
105632.971< 0.1%
 
105581.31< 0.1%
 
99291.361< 0.1%
 

KOSTEN_LANGDURIGE_GGZ
Real number (ℝ≥0)

ZEROS

Distinct2031
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1069.980375
Minimum0
Maximum590133.67
Zeros134601
Zeros (%)98.3%
Memory size1.0 MiB
2020-09-06T22:42:40.026002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum590133.67
Range590133.67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11172.98936
Coefficient of variation (CV)10.44223765
Kurtosis381.1033838
Mean1069.980375
Median Absolute Deviation (MAD)0
Skewness16.26609839
Sum146497433.1
Variance124835691.2
MonotocityNot monotonic
2020-09-06T22:42:40.227848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
013460198.3%
 
87191.226< 0.1%
 
87906.623< 0.1%
 
88618.3521< 0.1%
 
144295.4510< 0.1%
 
89330.18< 0.1%
 
87913.98< 0.1%
 
85055.957< 0.1%
 
146832.27< 0.1%
 
143025.257< 0.1%
 
Other values (2021)21981.6%
 
ValueCountFrequency (%) 
013460198.3%
 
216.471< 0.1%
 
239.471< 0.1%
 
477.761< 0.1%
 
478.941< 0.1%
 
ValueCountFrequency (%) 
590133.671< 0.1%
 
475537.491< 0.1%
 
448251.021< 0.1%
 
427507.441< 0.1%
 
415939.051< 0.1%
 

KOSTEN_GRENSOVERSCHRIJDENDE_ZORG
Real number (ℝ)

HIGH CORRELATION
SKEWED
ZEROS

Distinct64331
Distinct (%)47.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2240.297002
Minimum-378.77
Maximum38535043.17
Zeros53547
Zeros (%)39.1%
Memory size1.0 MiB
2020-09-06T22:42:40.472551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-378.77
5-th percentile0
Q10
median98.35
Q3839.0575
95-th percentile9513.81
Maximum38535043.17
Range38535421.94
Interquartile range (IQR)839.0575

Descriptive statistics

Standard deviation104431.1475
Coefficient of variation (CV)46.61486733
Kurtosis135381.9081
Mean2240.297002
Median Absolute Deviation (MAD)98.35
Skewness366.9142618
Sum306732504.3
Variance1.090586457e+10
MonotocityNot monotonic
2020-09-06T22:42:40.680830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05354739.1%
 
27.634550.3%
 
253360.2%
 
502920.2%
 
27.651670.1%
 
55.271510.1%
 
1001450.1%
 
601400.1%
 
401320.1%
 
801160.1%
 
Other values (64321)8143559.5%
 
ValueCountFrequency (%) 
-378.771< 0.1%
 
05354739.1%
 
0.12< 0.1%
 
0.121< 0.1%
 
0.141< 0.1%
 
ValueCountFrequency (%) 
38535043.171< 0.1%
 
565883.311< 0.1%
 
390986.861< 0.1%
 
381327.751< 0.1%
 
341457.941< 0.1%
 

KOSTEN_EERSTELIJNS_ONDERSTEUNING
Real number (ℝ≥0)

ZEROS

Distinct687
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.014787972
Minimum0
Maximum753.88
Zeros58122
Zeros (%)42.5%
Memory size1.0 MiB
2020-09-06T22:42:40.899131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.88
Q35.64
95-th percentile35.72
Maximum753.88
Range753.88
Interquartile range (IQR)5.64

Descriptive statistics

Standard deviation25.49039931
Coefficient of variation (CV)3.180420917
Kurtosis64.7443214
Mean8.014787972
Median Absolute Deviation (MAD)1.88
Skewness6.996626101
Sum1097352.71
Variance649.7604571
MonotocityNot monotonic
2020-09-06T22:42:41.251965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05812242.5%
 
1.882657319.4%
 
3.76132729.7%
 
5.6472165.3%
 
7.5243893.2%
 
9.426902.0%
 
11.2819911.5%
 
13.1613891.0%
 
15.0411310.8%
 
1.419770.7%
 
Other values (677)1916614.0%
 
ValueCountFrequency (%) 
05812242.5%
 
0.473840.3%
 
0.944120.3%
 
1.419770.7%
 
1.882657319.4%
 
ValueCountFrequency (%) 
753.881< 0.1%
 
452.611< 0.1%
 
447.911< 0.1%
 
429.111< 0.1%
 
412.661< 0.1%
 

KOSTEN_GERIATRISCHE_REVALIDATIEZORG
Real number (ℝ≥0)

ZEROS

Distinct11575
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5202.749319
Minimum0
Maximum917725.19
Zeros113073
Zeros (%)82.6%
Memory size1.0 MiB
2020-09-06T22:42:41.467778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile33003.2525
Maximum917725.19
Range917725.19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation18580.47046
Coefficient of variation (CV)3.571279207
Kurtosis231.6099099
Mean5202.749319
Median Absolute Deviation (MAD)0
Skewness10.05508917
Sum712339625.8
Variance345233882.5
MonotocityNot monotonic
2020-09-06T22:42:41.664928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011307382.6%
 
10821.254080.3%
 
10663.032770.2%
 
12914.822010.1%
 
19172.941840.1%
 
5677.021820.1%
 
10932.811670.1%
 
5594.021540.1%
 
14034.61490.1%
 
18892.621440.1%
 
Other values (11565)2197716.1%
 
ValueCountFrequency (%) 
011307382.6%
 
256.931< 0.1%
 
258.051< 0.1%
 
262.081< 0.1%
 
263.421< 0.1%
 
ValueCountFrequency (%) 
917725.191< 0.1%
 
838777.41< 0.1%
 
7991031< 0.1%
 
775131.871< 0.1%
 
646977.021< 0.1%
 

KOSTEN_VERPLEGING_EN_VERZORGING
Real number (ℝ)

ZEROS

Distinct67257
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25079.22121
Minimum-2784.46
Maximum5598974.62
Zeros63022
Zeros (%)46.0%
Memory size1.0 MiB
2020-09-06T22:42:41.889478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2784.46
5-th percentile0
Q10
median244.635
Q318909.315
95-th percentile121325.8825
Maximum5598974.62
Range5601759.08
Interquartile range (IQR)18909.315

Descriptive statistics

Standard deviation84878.18013
Coefficient of variation (CV)3.384402547
Kurtosis463.3123273
Mean25079.22121
Median Absolute Deviation (MAD)244.635
Skewness15.2946965
Sum3433746651
Variance7204305462
MonotocityNot monotonic
2020-09-06T22:42:42.077884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06302246.0%
 
6821590.1%
 
136459< 0.1%
 
162.9654< 0.1%
 
72240< 0.1%
 
53.5240< 0.1%
 
108.9637< 0.1%
 
54.4835< 0.1%
 
163.4433< 0.1%
 
71.0432< 0.1%
 
Other values (67247)7340553.6%
 
ValueCountFrequency (%) 
-2784.461< 0.1%
 
-1374.841< 0.1%
 
-988.261< 0.1%
 
06302246.0%
 
3.771< 0.1%
 
ValueCountFrequency (%) 
5598974.621< 0.1%
 
4198428.661< 0.1%
 
3974729.991< 0.1%
 
3292775.151< 0.1%
 
3285374.971< 0.1%
 

KOSTEN_OVERIG
Real number (ℝ)

ZEROS

Distinct58737
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3979.077726
Minimum-1432.6
Maximum834029.68
Zeros48825
Zeros (%)35.7%
Memory size1.0 MiB
2020-09-06T22:42:42.318540image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1432.6
5-th percentile0
Q10
median253.2
Q31969.3775
95-th percentile20354.3975
Maximum834029.68
Range835462.28
Interquartile range (IQR)1969.3775

Descriptive statistics

Standard deviation13933.25975
Coefficient of variation (CV)3.501630456
Kurtosis335.874178
Mean3979.077726
Median Absolute Deviation (MAD)253.2
Skewness12.63101444
Sum544799406
Variance194135727.4
MonotocityNot monotonic
2020-09-06T22:42:42.506811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04882535.7%
 
908860.6%
 
63.037560.6%
 
354.764710.3%
 
72.744360.3%
 
98.913770.3%
 
2222.363700.3%
 
262.393570.3%
 
50.193560.3%
 
67.863540.3%
 
Other values (58727)8372861.2%
 
ValueCountFrequency (%) 
-1432.61< 0.1%
 
-761.821< 0.1%
 
-564.291< 0.1%
 
-119.781< 0.1%
 
-114.661< 0.1%
 
ValueCountFrequency (%) 
834029.681< 0.1%
 
762560.691< 0.1%
 
548580.591< 0.1%
 
495262.091< 0.1%
 
477522.071< 0.1%
 

Interactions

2020-09-06T22:40:20.437636image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:20.635598image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:20.819802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:21.004398image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:21.192419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:21.502071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:21.696381image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:21.901091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:22.089236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:22.287111image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:22.487187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:22.684953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:22.870076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:23.069469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:23.252316image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:23.435508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:23.631201image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:23.824792image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:24.018219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:24.214080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:24.404422image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:24.595528image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:24.778875image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:24.967224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:25.155953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:25.339466image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:25.517676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:25.691586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:25.866141image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:26.046946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:26.242457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:26.583947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:26.773680image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:26.949603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:27.151358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:27.358555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:27.552062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:27.732231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:27.916952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:28.098491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:28.296197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:28.488468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:28.677962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:28.864709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:29.044850image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:29.235296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:29.417409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:29.594345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:29.771660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:29.951201image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:30.129494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:30.308492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:30.494007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:30.669604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:30.848008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:31.032033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:31.230609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:31.422908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:31.753757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:31.942504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:32.139345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:32.333930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:32.518322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:32.715718image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:32.892488image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:33.069219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:33.263551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:33.460157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:33.646420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:33.826628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:34.013324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:34.196047image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:34.375453image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:34.552396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:34.733501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:34.909634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:35.098051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:35.275866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:35.459286image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:35.641098image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:35.837489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:36.029876image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:36.225194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:36.407626image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:36.604361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:36.953721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:37.152564image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:37.343851image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:37.535552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:37.722174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:37.910145image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:38.104961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:38.297304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:38.489688image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:38.685733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:38.880858image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:39.067303image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:39.248497image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:39.431333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:39.615788image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:39.796492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:39.994937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:40.186577image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:40.382213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:40.580074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:40.780953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:40.986874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:41.194565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:41.387290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:41.593183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:41.802291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:42.163363image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:42.358997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:42.562813image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:42.754987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:42.948099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:43.156518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:43.359357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:43.563060image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:43.781868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:43.984359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:44.185420image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:44.377115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:44.574052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:44.772133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:44.964429image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:45.160436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:45.349267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:45.546905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:45.742636image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:45.944206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:46.151187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:46.359585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:46.553359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:46.762278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:46.974015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:47.179927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:47.530392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:47.735417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:47.929228image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:48.125120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:48.336759image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:48.541554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:48.745137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:48.947754image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:49.165816image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:49.364568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:49.555747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:49.750664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:49.951665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:50.148116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:50.347065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:50.544278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:50.740639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:50.938850image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:51.146475image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:51.358556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:51.571666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:51.767174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:51.976684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:52.192458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:52.404862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:52.756477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:52.965565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:53.173080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:53.368652image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:53.578628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:53.788828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:53.996230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:54.205271image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:54.414771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:54.622571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:54.820220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:55.021253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:55.223609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:55.424632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:55.606684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:55.781090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:55.962855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:56.149743image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:56.335179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:56.522755image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:56.715187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:56.891928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:57.082697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:57.279791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:57.472460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:57.652943image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:57.989911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:58.173491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:58.354513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:58.545871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:58.737043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:58.925461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:59.108695image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:59.301002image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:59.488231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:59.664188image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:40:59.848409image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:00.030511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:00.211061image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:00.406899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:00.617230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:00.810807image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:01.008360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:01.212123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:01.420626image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:01.632686image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:01.833971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:02.044360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:02.264595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:02.473360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:02.673151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:02.881765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:03.226027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:03.420142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:03.629193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:03.834275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:04.038893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:04.241681image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:04.451374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:04.663311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:04.860722image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:05.058182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:05.265468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:05.460447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:05.665774image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:05.866289image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:06.067547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:06.279816image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:06.491286image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:06.710787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:06.931025image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:07.136541image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:07.355881image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:07.583973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:07.799226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:08.009607image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:08.222654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:08.581846image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:08.787427image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:09.006849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:09.225071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:09.437456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:09.644474image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:09.865369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:10.072076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:10.274993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:10.475523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:10.685624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:10.884310image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:11.079336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:11.270010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:11.477596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:11.686288image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:11.888416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:12.107219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:12.315186image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:12.511684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:12.719360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:12.938174image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:13.147515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:13.346121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:13.548931image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:13.889674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:14.085315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:14.298356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:14.521849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:14.725236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:14.940647image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:15.145319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:15.348740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:15.552656image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:15.748629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:15.947231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:16.147723image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:16.340267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:16.518576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:16.697505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:16.880471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:17.071915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:17.265590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:17.471044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:17.659510image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:17.854927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:18.056715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:18.250411image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:18.434097image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:18.625470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:18.806640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:19.151048image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:19.360990image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:19.558832image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:19.760319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:19.944590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:20.167959image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:20.362793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:20.541352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:20.731569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:20.916589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:21.097295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:21.288960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:21.478090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:21.677558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:21.870756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:22.070965image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:22.282769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:22.492579image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:22.688108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:22.899658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:23.109780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:23.314582image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:23.510657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:23.713339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:23.905779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:24.097083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:24.461416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:24.664307image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:24.870576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:25.068213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:25.275617image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:25.480677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:25.675820image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:25.870638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:26.074900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:26.279758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:26.461205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:26.638248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:26.819676image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:27.002842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:27.194692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:27.388546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:27.585170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:27.768208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:27.961535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:28.163209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:28.357412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:28.548393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:28.738454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:28.920249image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:29.107861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:29.306852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:29.502692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:29.854216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:30.043512image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:30.237855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:30.422620image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:30.612459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:30.795500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:30.980205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:31.165530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:31.350382image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:31.528311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:31.705208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:31.886779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:32.077578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:32.271523image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:32.464150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:32.654693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:32.847222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:33.041585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:33.237470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:33.419477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:33.606251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:33.786152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:33.961014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:34.152454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:34.344102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:34.529065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:34.712183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:35.049248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:35.245600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:35.430077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:35.608184image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:35.791435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:35.968214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:36.170380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:36.365668image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:36.560287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:36.762444image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:36.974708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:37.184520image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:37.397704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:37.595880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:37.805933image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:38.037392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:38.248134image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:38.446740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:38.651834image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:38.850260image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:39.046399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:39.257574image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:39.467621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:39.673976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:39.883152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:40.085708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:40.439261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:40.634001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:40.835713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:41.039240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:41.248581image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:41.447793image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:41.648028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:41.841374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:42.039689image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:42.244537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:42.451004image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:42.660279image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:42.856132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:43.066809image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:43.276464image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:43.482053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:43.678950image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:43.884756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:44.089224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:44.287191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:44.497227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:44.707169image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:44.914465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:45.116600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:45.320977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:45.664869image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:45.857454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:46.055633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:46.260045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:46.455077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:46.652189image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:46.843954image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:47.034121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:47.228845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:47.430443image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:47.634737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:47.838901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:48.028492image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:48.235706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:48.448191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:48.664576image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:48.858750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:49.060132image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:49.251183image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:49.438838image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:49.643591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:49.849889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:50.046930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:50.246384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:50.447786image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:50.646697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:50.984775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:51.176528image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:51.378008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:51.567063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:51.753893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:51.935738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:52.121866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:52.310866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:52.506496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:52.701065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:52.900684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:53.083196image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:53.281104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:53.483101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:53.681801image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:53.873010image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:54.071209image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:54.255433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:54.438860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:54.640441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:54.844123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:55.038206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:55.228940image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:55.420871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:55.613416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:55.806669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:56.154116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:56.361556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:56.561771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:56.762568image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:56.949605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:57.137372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:57.329815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:57.531021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:57.742663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:57.961864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:58.162862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:58.376812image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:58.589230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:58.792390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:58.992170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:59.203967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:59.406269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:59.598529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:41:59.808318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:00.020891image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:00.221782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:00.418079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:00.621317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:00.819668image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:01.020843image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:01.215658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:01.546161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:01.753431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:01.947146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:02.136230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:02.319323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:02.504092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:02.696584image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:02.892356image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:03.089994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:03.291629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:03.498218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:03.708341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:03.916371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:04.124393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:04.334880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:04.527648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:04.726156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:04.936769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:05.134861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:05.334734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:05.523963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:05.718569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:05.909641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:06.093815image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:06.279941image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:06.470631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:06.802791image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:06.985651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:07.168436image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:07.347537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:07.529386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:07.719172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:07.910290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:08.104026image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:08.282551image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:08.477115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:08.673880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:08.870727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:09.051505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:09.242906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:09.424580image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:09.602364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:09.792998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:09.984254image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:10.171414image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:10.357304image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:10.545496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:10.730151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:10.907745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:11.088013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:11.271351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:11.446091image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:11.627362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:11.950268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:12.126034image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:12.302661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:12.489505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:12.677565image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:12.870495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:13.047891image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:13.240817image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:13.443377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:13.642250image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:13.838175image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:14.027659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:14.206377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:14.385282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:14.575065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:14.765023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:14.967159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:15.148628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:15.336368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:15.520668image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:15.698801image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:15.878198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:16.061766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:16.236482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:16.427621image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:16.613229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:16.798725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:17.129350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:17.327855image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:17.526918image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:17.737231image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:17.927072image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:18.132836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:18.334413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:18.537421image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:18.730353image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:18.926258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:19.119372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:19.304126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:19.521469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:19.725335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:19.926794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:20.120697image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:20.314167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:20.508628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:20.693465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:20.880613image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:21.077998image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:21.264107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:21.442167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:21.617277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:21.795267image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:21.973973image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:22.312632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:22.504471image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:22.698354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:22.874162image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:23.065078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:23.261377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:23.448115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:23.630683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:23.816604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:23.993782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:24.174871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:24.366389image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:24.553935image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:24.744052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:24.927117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:25.112072image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:25.293476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:25.470897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:25.648573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:25.831255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-09-06T22:42:42.722319image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-09-06T22:42:43.250239image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Missing values

2020-09-06T22:42:26.441445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:28.353077image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:29.456033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-09-06T22:42:29.730929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

GESLACHTLEEFTIJDSKLASSEPOSTCODE_3AANTAL_BSNAANTAL_VERZEKERDEJARENKOSTEN_MEDISCH_SPECIALISTISCHE_ZORGKOSTEN_FARMACIEKOSTEN_SPECIALISTISCHE_GGZKOSTEN_HUISARTS_INSCHRIJFTARIEFKOSTEN_HUISARTS_CONSULTKOSTEN_HUISARTS_MDZKOSTEN_HUISARTS_OVERIGKOSTEN_HULPMIDDELENKOSTEN_MONDZORGKOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIEKOSTEN_PARAMEDISCHE_ZORG_OVERIGKOSTEN_ZIEKENVERVOER_ZITTENDKOSTEN_ZIEKENVERVOER_LIGGENDKOSTEN_KRAAMZORGKOSTEN_VERLOSKUNDIGE_ZORGKOSTEN_GENERALISTISCHE_BASIS_GGZKOSTEN_LANGDURIGE_GGZKOSTEN_GRENSOVERSCHRIJDENDE_ZORGKOSTEN_EERSTELIJNS_ONDERSTEUNINGKOSTEN_GERIATRISCHE_REVALIDATIEZORGKOSTEN_VERPLEGING_EN_VERZORGINGKOSTEN_OVERIG
0NaNNaNNaN356551196219.7446978766.768368957.117669881.833973069.451261062.66793129.653402557.071675945.12938749.29340085.91258441.47136850.01863993.75923607.73845092.35526191.06120330.7738535043.17753.88281934.95696777.02495262.09
1M00.0330145.141124998.0225381.100.005278.156296.83122.1412654.511338.102062.2716851.352565.800.011936.650.000.000.000.004178.5346.060.000.000.00
2M0101.0579278.411786934.2632112.930.008995.6711378.90619.7121995.331736.69219.5118708.97122.800.013096.150.000.000.000.005221.256.580.00200.252211.57
3M0102.0312157.66950071.2512782.990.005950.247131.80135.5717602.211024.3997.5910164.69265.280.09365.320.000.000.000.001206.223.760.000.00131.87
4M0103.0341166.931344150.9124840.020.005616.567491.80195.6519003.186021.99223.1911792.31561.500.010201.430.000.000.000.00293.444.230.003333.95445.49
5M0105.0957454.982704233.2449095.530.0016008.6119426.951307.5943927.747059.73539.3130362.551097.200.031900.820.000.000.000.002435.0310.340.00176.67593.30
6M0106.01099546.944142347.5090956.510.0020634.1726067.421652.9873371.208767.5165.0947360.312185.770.037907.350.000.000.000.004916.7911.750.00843.361549.87
7M0107.0653327.822460736.5666963.340.0011042.9013761.072920.7329109.527507.39841.4637536.902384.040.023290.240.000.000.000.006923.865.170.009170.22570.07
8M0108.0285143.231171622.5233917.010.004768.536665.661576.6215280.092583.47149.5515982.32159.500.013941.080.000.000.000.0044956.420.470.00844.44153.20
9M0109.0572286.341566585.2548131.650.0010077.9812631.00760.4531746.885188.4144.5617210.121304.090.011347.650.000.000.000.001202.488.460.0013.62105.15

Last rows

GESLACHTLEEFTIJDSKLASSEPOSTCODE_3AANTAL_BSNAANTAL_VERZEKERDEJARENKOSTEN_MEDISCH_SPECIALISTISCHE_ZORGKOSTEN_FARMACIEKOSTEN_SPECIALISTISCHE_GGZKOSTEN_HUISARTS_INSCHRIJFTARIEFKOSTEN_HUISARTS_CONSULTKOSTEN_HUISARTS_MDZKOSTEN_HUISARTS_OVERIGKOSTEN_HULPMIDDELENKOSTEN_MONDZORGKOSTEN_PARAMEDISCHE_ZORG_FYSIOTHERAPIEKOSTEN_PARAMEDISCHE_ZORG_OVERIGKOSTEN_ZIEKENVERVOER_ZITTENDKOSTEN_ZIEKENVERVOER_LIGGENDKOSTEN_KRAAMZORGKOSTEN_VERLOSKUNDIGE_ZORGKOSTEN_GENERALISTISCHE_BASIS_GGZKOSTEN_LANGDURIGE_GGZKOSTEN_GRENSOVERSCHRIJDENDE_ZORGKOSTEN_EERSTELIJNS_ONDERSTEUNINGKOSTEN_GERIATRISCHE_REVALIDATIEZORGKOSTEN_VERPLEGING_EN_VERZORGINGKOSTEN_OVERIG
136906V90+986.06055.3268436.7146633.441990.645348.8822070.385363.1310702.9640854.991214.960.00640.500.08331.360.00.00.000.00.001.880.00159632.5026012.70
136907V90+990.0123107.37169368.3285783.6219345.6310120.9222429.307599.0212402.0074884.341317.7617015.90582.201330.021390.440.00.01010.260.00.000.0021124.01616432.2633011.82
136908V90+991.05447.1251423.6853651.952101.255060.4627292.245858.437414.4243662.201057.091507.80700.550.07662.950.00.00.000.00.000.005677.02264190.6413587.84
136909V90+993.0183166.36296607.32143427.3835774.2415181.3826272.7510969.6230615.40109523.555642.257050.461673.300.036787.590.00.00.000.0252.513.7637599.55784496.2634423.08
136910V90+994.03330.9356171.6322300.355711.652622.005254.563785.282848.5911561.42208.020.000.000.04708.220.00.00.000.00.000.0019172.94113591.452434.56
136911V90+995.09783.20172813.8766113.712554.207161.4018886.377805.7717350.1140173.96601.987668.551741.420.032196.160.00.00.000.00.001.8889439.64233745.5543097.16
136912V90+996.04441.9154520.2628462.631041.713198.8412674.726218.025870.8216935.03344.950.000.000.08858.280.00.00.000.00.000.005677.02227809.890.00
136913V90+997.02423.1752800.3815782.661866.952438.469265.173313.013345.8017489.76760.94543.00274.170.07321.680.00.00.000.00.000.940.00193640.65610.20
136914V90+998.0122106.33295089.29108384.1827094.7911169.7235104.058219.9517497.8599369.30884.532257.503618.5728.937321.470.00.00.000.00.005.17143678.40965501.1222138.04
136915V90+999.03330.00106264.5133995.484223.833303.726679.173577.742842.4628172.65176.8245.15588.506922.45750.610.00.00.000.00.000.0032913.7581615.4025823.22